Voice mode asset retrieval

ABSTRACT

A method includes detecting an event published to a workflow activity by a voice based dialog view, wherein the event indicates a state of asset retrieval, navigating to a built-in asset retrieval work activity, retrieving an asset, and dismissing the workflow activity to revert to a workflow activity associated with the voice based dialog view.

CROSS-REFERENCE TO RELATED APPLICATION

This application claims the benefit of U.S. Provisional PatentApplication No. 62/101,216 for Voice Mode Asset Retrieval, filed on Jan.8, 2015, which is hereby incorporated by reference in its entirety.

BACKGROUND

Some applications may utilize a voice based interface. Devicesimplementing the applications require voice assets, such as user voiceprofiles to best operate with each specific user of the device. Furtheruse of voice based interfaces on a device may also perform noisesampling to better distinguish the user's voice from background noise.

SUMMARY

In one aspect, the present disclosure embraces a method that includesdetecting an event published to a workflow activity by a voice baseddialog view. The event indicates a state of asset retrieval. The methodalso includes navigating to a built-in asset retrieval work activity.The method also includes retrieving an asset, and dismissing theworkflow activity to revert to a workflow activity associated with thevoice based dialog view.

In an exemplary embodiment, the asset includes a worker based voicetemplate for use in voice recognition.

In another exemplary embodiment, the event includes a worker ID thatuniquely identifies the worker based voice template.

In yet another exemplary embodiment, retrieving an asset includesobtaining a worker ID and accessing a remote storage using the worker IDto obtain a corresponding worker based voice template.

In yet another exemplary embodiment, retrieving an asset includesobtaining a worker ID and determining whether a worker based voicetemplate associated with the worker ID exists. The method also includesperforming a voice template training method with the worker if noassociated worker ID exists. The method also includes storing the voicetemplate.

In yet another exemplary embodiment, the event is published when a firstworkflow activity using a voice view is encountered when executing aworkflow activity based application.

In yet another exemplary embodiment, the asset retrieval workflowactivity dismisses itself.

In yet another exemplary embodiment, the voice based dialog view is oneof multiple views to provide user interfaces for an application formedof workflow activities.

In another aspect, the disclosure embraces a machine readable storagedevice that has instructions for execution by a processor of the machineto perform a method. The method includes detecting an event published toa workflow activity by a voice based dialog view. The event indicates astate of asset retrieval. The method also includes navigating to abuilt-in asset retrieval work activity. The method also includesretrieving an asset. The method also includes dismissing the workflowactivity to revert to a workflow activity associated with the voicebased dialog view.

In an exemplary embodiment, the asset includes a worker based voicetemplate for use in voice recognition.

In another exemplary embodiment, the event includes a worker ID thatuniquely identifies the worker based voice template.

In yet another exemplary embodiment, retrieving an asset includesobtaining a worker ID and accessing a remote storage using the worker IDto obtain a corresponding worker based voice template.

In yet another exemplary embodiment, retrieving an asset includesobtaining a worker ID and determining whether a worker based voicetemplate associated with the worker ID exists. The method also includesperforming a voice template training method with the worker if noassociated worker ID exists. The method also includes storing the voicetemplate.

In yet another exemplary embodiment, the event is published when a firstworkflow activity using a voice view is encountered when executing aworkflow activity based application.

In yet another exemplary embodiment, the asset retrieval workflowactivity dismisses itself.

In yet another exemplary embodiment, the voice based dialog view is oneof multiple views to provide user interfaces for an application formedof workflow activities.

In another aspect, the present disclosure embraces a system thatincludes a device having a microphone, a speaker, a memory, and a moduleto couple to the device and having a processor and a memory. Theprocessor is programmed to perform a method that includes detecting anevent published to a workflow activity by a voice based dialog view,wherein the event indicates a state of asset retrieval. The method alsoincludes navigating to a built-in asset retrieval work activity,retrieving an asset, and dismissing the workflow activity to revert to aworkflow activity associated with the voice based dialog view.

In an exemplary embodiment, the asset includes a worker based voicetemplate for use in voice recognition.

In another exemplary embodiment, the event includes a worker ID thatuniquely identifies the worker based voice template.

In yet another exemplary embodiment, retrieving an asset includesobtaining a worker ID and accessing a remote storage using the worker IDto obtain a corresponding worker based voice template.

In yet another exemplary embodiment, retrieving an asset includesobtaining a worker ID and determining whether a worker based voicetemplate associated with the worker ID exists. The method also includesperforming a voice template training method with the worker if noassociated worker ID exists. The method also includes storing the voicetemplate.

In yet another exemplary embodiment, the event is published when a firstworkflow activity using a voice view is encountered when executing aworkflow activity based application.

In yet another exemplary embodiment, the asset retrieval workflowactivity dismisses itself.

In yet another exemplary embodiment, the voice based dialog view is oneof multiple views to provide user interfaces for an application formedof workflow activities.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is an exemplary headset according to an example embodiment.

FIG. 2 is a block diagram of a headset architecture according to anexample embodiment.

FIG. 3 is a flowchart illustrating a method of initializing a device forvoice recognition according to an example embodiment.

FIG. 4 is a block diagram of a computer architecture for implementingdevices and performing methods according to example embodiments.

DETAILED DESCRIPTION

In the following description, reference is made to the accompanyingdrawings that form a part hereof, and in which is shown by way ofillustration specific embodiments which may be practiced. Theseembodiments are described in sufficient detail to enable those skilledin the art to practice the invention, and it is to be understood thatother embodiments may be utilized and that structural, logical, andelectrical changes may be made without departing from the scope of thepresent invention. The following description of example embodiments is,therefore, not to be taken in a limited sense, and the scope of thepresent invention is defined by the appended claims.

The functions or algorithms described herein may be implemented insoftware or a combination of software and human implemented proceduresin one embodiment. The software may consist of computer executableinstructions stored on computer readable media or computer readablestorage device such as one or more memory or other type of hardwarebased storage devices, either local or networked. Further, suchfunctions correspond to modules, which are software, hardware, firmware,or any combination thereof. Multiple functions may be performed in oneor more modules as desired, and the embodiments described are merelyexamples. The software may be executed on a digital signal processor,ASIC, microprocessor, or other type of processor operating on a computersystem, such as a personal computer, server or other computer system.

A distributed headset illustrated at 100 in FIG. 1 includes a wirelessenabled voice recognition device that utilizes a hands-free profile. Toprovide a long battery life consistent with long work shifts, elementsmay be off-loaded into a module 110 that is coupled to a light-weightand comfortable headset 115 secured to a worker head via a headband 117.The headband may be a band that is designed to fit on a worker head, orin or over an ear or otherwise designed to support the headset thatincludes one or more speakers 120 and multiple microphones 125, 126.Microphone 126 may be one or more microphones to provide for noisecancellation continuously listening to and blocking environmental soundsto enhance voice recognition and optionally provide for noisecancellation.

While a headset is illustrated, other types of devices having voiceinterface capabilities such as a speaker and a microphone may be used infurther embodiments. Such devices may include but are not limited tohats, smart phones, personal digital assistants, tablet computers,laptop computers, and other devices which may be worn, carried,stationary, or otherwise positioned to interact with a worker via voice.

The module 110 may be used to offload several components of thedistributed headset 100 to reduce the weight of the headset 115. In someembodiments, one or more of a rechargeable or long life battery, keypad,BLUETOOTH® antenna, and printed circuit board assembly (PCBA)electronics may be offloaded to the module 110. The module may bemounted to a worker torso (lapel clip and/or lanyard). The headsetattaches to the electronics module via a small audio cable 130.Distributed headset 100 may provide a flexible use case across multipleworkflows in multiple markets such as grocery, retail, direct storedelivery, healthcare, etc. In some embodiments, the distributed headset100 has a low profile and is not intimidating to a customer in a retailsetting. Headset 115 may be minimalistic in appearance in someembodiments.

Module 110 can be used with different headsets, such as VOCOLLECTheadsets, depending on environment. The module 110 may read a uniqueidentifier (I.D.) of the headset, which may be stored in a headsetelectronic circuitry package 135 that is supported by headband 130 andis also used to electronically couple the speakers and microphones tomodule 110. Note that in further embodiments, a worker's identity couldalso be specified during an application's login process; it is notlimited to headset ID detection. In one embodiment, the audio cable 130includes multiple conductors or communication lines for signals whichmay include a speaker+, speaker−, ground digital, microphone, secondarymicrophone, and microphone ground. The module 110 may utilize a userconfigurable attachment 140, such as a plastic loop, and attachmentposition on the worker in some embodiments.

FIG. 2 is a block diagram illustrating an architecture 200 of adistributed headset system for providing communications with a worker.Architecture 200 includes a headset 115 and module 110 as previouslydescribed. Module 110 may be coupled to a server or other device, suchas a terminal 210 via a wireless line 215, such as a BLUETOOTH®connection. The terminal 210 may be further coupled to a network 220 viaa wireless or wired connection 225 such as WLAN, and then may optionallybe further coupled via a wired or wireless connection 230 to a voiceconsole 235 which may also be thought of as a mobile device managerapplication. Voice console 235, terminal 210, or some other devicerunning a workflow or other type of application may assign an operatorto the terminal 210. Voice templates may be loaded into terminal 210 inone embodiment to recognize worker voice interactions and convert theinteractions into text based data and commands for interaction with anapplication running on the terminal 210. Note that the functionsascribed to individual elements of the architecture 200 may be performedin one or more locations in further embodiments. For instance, theterminal 210 may perform voice recognition in one embodiment, or themodule 110 may perform voice recognition utilizing the voice templates.

The separation of the headset 115 and module 110 allows the sharing ofmodules 110 that contain headset electronics across multiple shifts,resulting in lower total cost of ownership. Workers retain each of theirown assigned headsets 115, which contain the unique ID (e.g., worker ID)stored therein in electronics 135. Each worker utilizing the module 110has a separate set of voice templates, which may include a template foreach recognizable utterance. Rather than store the templates for everyworker in every module, in one embodiment, each unique ID correspondingto a specific worker has a set of associated voice templates. The firsttime a worker uses the distributed headset 100, voice training may beperformed to generate their voice templates. Thereafter, the same voicetemplates may be used each time a user starts a shift utilizing anapplication that is voice enabled.

In one embodiment, the voice templates for all workers may be stored ina remote storage device 240, such as at a server or other devices, suchas terminal 210 or voice console 235. When the ID of the headset 115 isread by module 110 after attaching the headset to the module, the ID isprovided to the server and the associated voice templates may beobtained and used to recognize the user's voice and properly interactwith voice interface views.

FIG. 3 is a flowchart illustrating a method 300 of initializing adistributed headset 100 according to an example embodiment. In someembodiments, applications include many different work activities todirect a worker to perform one or more tasks. At least two differentinterfaces may be used by a worker to interact with the application. Agraphical user interface may be used for some workflow activities, whilea voice interface may be used with other activities. The worker may alsoswitch back and forth between using a graphical user interface and thevoice interface.

At 310, a workflow activity may be associated with a voice basedinterface mode. The voice based interface mode may utilize a voice baseddialog view. At 315, a voice based dialog view may publish an event to aworkflow activity indicating a state of asset retrieval. In this casethe asset being referred to include a set of voice templates for theworker associated with the ID of the headset 115. The module 110 orother server type device coupled to the module 110 has a built-inworkflow activity for handling the asset retrieval. At 320, the built-inasset retrieval workflow activity is navigated to, and the asset isretrieved at 325 for use in voice recognition. If no set of voicetemplates exists for the worker yet, at 330, a training set ofactivities, also built-into the module 110 or a server may be performedto generate and store the voice templates for use in voice recognition.At 335, once the voice template has been retrieved or created, thetop-most workflow activity may dismiss itself and refer back to theprevious workflow activity in the application. Since the asset creationand retrieval workflows are built-into the module 110 or a server, theapplication and the workflow application developer need not be concernedwith whether or not the components executing the workflow activity areready to provide the voice based interface to the worker.

In one embodiment, all application workflow activities may be providedwith the capability to publish such an event resulting in the assetretrieval workflow when such workflow activities are configured as thefirst workflow activity in the application to use voice. The applicationdeveloper may simply include a voice-based presentation layer view inthe application and associate it with a workflow activity in oneembodiment. The voice based view will publish the event resulting in theexecution of method 300 to properly configure the distributed headset100 for voice interactions with the specified worker.

FIG. 4 is a block schematic diagram of a computer system 400 toimplement methods according to example embodiments. All components neednot be used in various embodiments. An example computing device in theform of a computer 400 may include a processing unit 402, memory 403,removable storage 410, and non-removable storage 412. Although theexample computing device is illustrated and described as computer 400,the computing device may be in different forms in different embodiments.For example, the computing device may instead be a smartphone, a tablet,smartwatch, or other computing device including the same or similarelements as illustrated and described with regard to FIG. 4. Devicessuch as smartphones, tablets, and smartwatches are generallycollectively referred to as mobile devices. Further, although thevarious data storage elements are illustrated as part of the computer400, the storage may also or alternatively include cloud-based storageaccessible via a network, such as the Internet.

Memory 403 may include volatile memory 414 and non-volatile memory 408.Computer 400 may include—or have access to a computing environment thatincludes—a variety of computer-readable media, such as volatile memory414 and non-volatile memory 408, removable storage 410 and non-removablestorage 412. Computer storage includes random access memory (RAM), readonly memory (ROM), erasable programmable read-only memory (EPROM) &electrically erasable programmable read-only memory (EEPROM), flashmemory or other memory technologies, compact disc read-only memory (CDROM), Digital Versatile Disks (DVD) or other optical disk storage,magnetic cassettes, magnetic tape, magnetic disk storage or othermagnetic storage devices, or any other medium capable of storingcomputer-readable instructions.

Computer 400 may include or have access to a computing environment thatincludes input 406, output 404, and a communication connection 416.Output 404 may include a display device, such as a touchscreen, thatalso may serve as an input device. The input 406 may include one or moreof a touchscreen, touchpad, mouse, keyboard, camera, one or moredevice-specific buttons, one or more sensors integrated within orcoupled via wired or wireless data connections to the computer 400, andother input devices. The computer may operate in a networked environmentusing a communication connection to connect to one or more remotecomputers, such as database servers. The remote computer may include apersonal computer (PC), server, router, network PC, a peer device orother common network node, or the like. The communication connection mayinclude a Local Area Network (LAN), a Wide Area Network (WAN), cellular,WiFi, Bluetooth, or other networks.

Computer-readable instructions stored on a computer-readable medium areexecutable by the processing unit 402 of the computer 400. A hard drive,CD-ROM, and RAM are some examples of articles including a non-transitorycomputer-readable medium such as a storage device. The termscomputer-readable medium and storage device do not include carrierwaves. For example, a computer program 418 capable of providing ageneric technique to perform access control check for data access and/orfor doing an operation on one of the servers in a component object model(COM) based system may be included on a CD-ROM and loaded from theCD-ROM to a hard drive. The computer-readable instructions allowcomputer 400 to provide generic access controls in a COM based computernetwork system having multiple users and servers.

Although a few embodiments have been described in detail above, othermodifications are possible. For example, the logic flows depicted in thefigures do not require the particular order shown, or sequential order,to achieve desirable results. Other steps may be provided, or steps maybe eliminated, from the described flows, and other components may beadded to, or removed from, the described systems. Other embodiments maybe within the scope of the following claims.

To supplement the present disclosure, this application incorporatesentirely by reference the following patents, patent applicationpublications, and patent applications:

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1. A method comprising: detecting an event published to a workflowactivity by a voice based dialog view, wherein the event indicates astate of asset retrieval; navigating to a built-in asset retrieval workactivity; retrieving an asset; and dismissing the workflow activity torevert to a workflow activity associated with the voice based dialogview.
 2. The method of claim 1 wherein the asset comprises a workerbased voice template for use in voice recognition.
 3. The method ofclaim 2 wherein the event includes a worker ID that uniquely identifiesthe worker based voice template.
 4. The method of claim 1 whereinretrieving an asset comprises: obtaining a worker ID; accessing a remotestorage using the worker ID to obtain a corresponding worker based voicetemplate.
 5. The method of claim 1 wherein retrieving an assetcomprises: obtaining a worker ID; determining whether a worker basedvoice template associated with the worker ID exists; if no associatedworker ID exists, performing a voice template training method with theworker; and storing the voice template.
 6. The method of claim 1 whereinthe event is published when a first workflow activity using a voice viewis encountered when executing a workflow activity based application. 7.The method of claim 1 wherein the asset retrieval workflow activitydismisses itself.
 8. The method of claim 1 wherein the voice baseddialog view is one of multiple views to provide user interfaces for anapplication formed of workflow activities.
 9. A machine readable storagedevice having instructions for execution by a processor of the machineto perform a method comprising: detecting an event published to aworkflow activity by a voice based dialog view, wherein the eventindicates a state of asset retrieval; navigating to a built-in assetretrieval work activity; retrieving an asset; and dismissing theworkflow activity to revert to a workflow activity associated with thevoice based dialog view.
 10. The machine readable storage device ofclaim 9 wherein the asset comprises a worker based voice template foruse in voice recognition.
 11. The machine readable storage device ofclaim 10 wherein the event includes a worker ID the uniquely identifiesthe worker based voice template.
 12. The machine readable storage deviceof claim 9 wherein retrieving an asset comprises: obtaining a worker ID;accessing a remote storage using the worker ID to obtain a correspondingworker based voice template.
 13. The machine readable storage device ofclaim 9 wherein retrieving an asset comprises: obtaining a worker ID;determining whether a worker based voice template associated with theworker ID exists; if no associated worker ID exists, performing a voicetemplate training method with the worker; and storing the voicetemplate.
 14. The machine readable storage device of claim 9 wherein theevent is published when a first workflow activity using a voice view isencountered when executing a workflow activity based application. 15.The machine readable storage device of claim 9 wherein the assetretrieval work activity dismisses itself.
 16. The machine readablestorage device of claim 9 wherein the voice based dialog view is one ofmultiple views to provide user interfaces for an application formed ofworkflow activities.
 17. A system comprising: a device having amicrophone and a speaker; and a module to couple to the device andhaving a processor and a memory, the processor programmed to perform amethod comprising: detecting an event published to a workflow activityby a voice based dialog view, wherein the event indicates a state ofasset retrieval; navigating to a built-in asset retrieval work activity;retrieving an asset; and dismissing the workflow activity to revert to aworkflow activity associated with the voice based dialog view.
 18. Thesystem of claim 17 wherein the asset comprises a worker based voicetemplate for use in voice recognition and wherein the event includes aworker ID that uniquely identifies the worker based voice template. 19.The system of claim 17 wherein retrieving an asset comprises: obtaininga worker ID from a device storage device; accessing a remote storageusing the worker ID to obtain a corresponding worker based voicetemplate.
 20. The system of claim 17 wherein retrieving an assetcomprises: obtaining a worker ID; determining whether a worker basedvoice template associated with the worker headset ID exists; if noassociated worker ID exists, performing a voice template training methodwith the worker; and storing the voice template.